Research Article
Completion of Marine Wireless Sensor Monitoring Data Based on Tensor Mode-n Rank and Tucker Operator
@INPROCEEDINGS{10.1007/978-3-030-67514-1_51, author={Peng Xu and Huayang Chen and Chunhua Yu and Tongtong Wang and Yechao Bai}, title={Completion of Marine Wireless Sensor Monitoring Data Based on Tensor Mode-n Rank and Tucker Operator}, proceedings={IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19--20, 2020, Proceedings}, proceedings_a={IOTAAS}, year={2021}, month={1}, keywords={Marine monitoring Wireless sensors Tensor completion Tucker operator}, doi={10.1007/978-3-030-67514-1_51} }- Peng Xu
Huayang Chen
Chunhua Yu
Tongtong Wang
Yechao Bai
Year: 2021
Completion of Marine Wireless Sensor Monitoring Data Based on Tensor Mode-n Rank and Tucker Operator
IOTAAS
Springer
DOI: 10.1007/978-3-030-67514-1_51
Abstract
The marine monitoring system is one of the frontier technologies actively developed by major countries in the world today. The current ocean monitoring system mainly relies on technologies such as positioning, control, and wireless sensors. The buoy equipped with a variety of wireless sensors continuously collects data on the ocean. However, due to natural environmental influences and malicious tampering by the enemy, the data directly obtained by the wireless sensor buoys may contain large errors. Therefore, we construct the obtained original data into a tensor model, and at the same time replace the data with larger errors into null data “0”. Based on the tensor mode-n rank, we use the alternating direction method of multipliers (ADMM) framework, combined with the tensor Tucker decomposition, and introduce the tensor Tucker singular value operator to it. The overall data can be completed from the existing original data with missing values, so as to optimize the original ocean monitoring data. The method is compared with the data completion based on tensor Tucker decomposition and the linear regression prediction based on principal component analysis. Numerical experiments are given to confirm the superiority of the proposed method.
